Intellectualization of the management processes at the enterprise of automotive industry

© 2018 Association for Computing Machinery. Complex production systems, such as the trucks manufacturing, require the intellectualization of processes. Introduction of smart technologies (Industry 4.0) in automotive industry requires new approaches to the managerial decisions making, thus the modelling of a control system becomes the most important part of the manufacturing optimization. In this paper, we present an assembly line simulation model with dynamically changing parameters that allows reacting quickly to the production system’s changes. A software module has been developed to automatically perform such functions, as monitoring the operations (statuses) on positions and developing recommendations to organize logistical flows. The algorithm to determine the state of the assembly line’s position is presented. Introduction of such approach in automotive industry will allow not only optimizing processes and improving product quality, but also establishing favorable conditions for the subsequent intellectualization of the automotive service

Logistics control of the resources flow in energy-saving projects: Case study for metallurgical industry

The multilevel model for the formation and assessment of resource flows of a metallurgical enterprise is presented, which, at the logistics positions, reconcile the enterprise flow processes at all management levels, providing procedures for regulating the parameters of material and financial flows due to parametric and structural coordination in the short period of time and system coordination and adaptation of goals in the long term period. Drawing on the theory of logistics, it is possible to define the resource flow in project management as an aggregate of the enterprise’s own and attracted resources, considering in the process of interconnected and interdependent changes and movements carried out to achieve the objectives of the project. Optimization models of rational options selection for attracting additional resources, which allow implementing energy-saving projects under conditions of suspending finances at definite time periods due to a change in the project implementation schedule are described